Xuemin Zhang, Wen Shan, Qin Xu, Bin Yang, Yun-Feng Zhang
{"title":"An Ergonomics Study of Menu-Operation on Mobile Phone Interface","authors":"Xuemin Zhang, Wen Shan, Qin Xu, Bin Yang, Yun-Feng Zhang","doi":"10.1109/IITA.2007.87","DOIUrl":"https://doi.org/10.1109/IITA.2007.87","url":null,"abstract":"The studies on user and mobile phone interaction have been an important problem in small screen interface design. The present study was intend to investigate the impact of three common mobile phone menu displays: matrix, tree, and page-to-page - and differential organizations of their sub-menus and functions by reaction time experiment. We also used rating scale to investigate users' preference of different mobile phone menu displays. Reaction time for accurately completing these operations was fastest when participants were presented with the matrix menu and fastest when participants were presented organizations emphasizing logical categorization rather than non-logical categorization. The result also showed consistency between users' operating efficiency and mobile phone users' interface preference. Finally, the implications of these findings for mobile phone design are discussed.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131739490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mei Chen, Yuchen Fu, Juan Ge, Xiaoke Zhou, Zhiming Cui
{"title":"Study of Logistics Vehicle Routing Problem Based on GIS","authors":"Mei Chen, Yuchen Fu, Juan Ge, Xiaoke Zhou, Zhiming Cui","doi":"10.1109/IITA.2007.35","DOIUrl":"https://doi.org/10.1109/IITA.2007.35","url":null,"abstract":"VRP(vehicle routing problem) is the core of logistics distribution and logistics distribution is also a kind of spatial activities. GIS is an expert to process spatial database. In order to reduce the cost of logistics distribution, to combine the VRP model to GIS by analyzing the VRP model. First to apply spatial clustering to divide customer nodes into several parts according to region density of customer nodes, then to apply Ant Colony Algorithm to optimize the routing in each part. It improves the efficiency of logistics distribution and get a better solution of VRP.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131962753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guohua Shen, Zhiqiu Huang, Xiaodong Zhu, Lei Wang, Gaoyou Xiang
{"title":"Using Description Logics Reasoner for Ontology Matching","authors":"Guohua Shen, Zhiqiu Huang, Xiaodong Zhu, Lei Wang, Gaoyou Xiang","doi":"10.1109/IITA.2007.95","DOIUrl":"https://doi.org/10.1109/IITA.2007.95","url":null,"abstract":"Ontology matching produces correspondences between elements of two ontologies and it is a basic problem in many database application domains. A Description Logics-based ontology matching approach is proposed. The approach achieves the matching by means of semantic interpretation. The algorithm of deciding ontology correspondences (such as equivalence, more general, less general, disjointness, overlapping) is presented, which is reasoned based on concept inclusion. The reasoner RacerPro is selected to deduce ontology mapping, and the experimental results demonstrate that the approach is feasible.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122238995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation and Countermeasure on Subhealth of Hubei Colleges Teachers","authors":"Qi Luo, Weitao Zheng, Zhihua Zhang","doi":"10.1109/IITA.2007.91","DOIUrl":"https://doi.org/10.1109/IITA.2007.91","url":null,"abstract":"Objective. to study the distribution and affecting factors on sub health of the college teachers, scientific proof for health care is provided. Methods. The teachers in 21 colleges were investigated with the same questionnaires and the affecting factors on subhealth were analyzed by means of logistic regression analysis. Results. The risk age was above 40 and 50 years old during which female heavy subhealth was more serious than the male. Being short of physical training, working without pleasure, working long time are the risk factors of subhealth status. Conclusion. College teachers should improving the cognition on subhealth, keep the happy mood, free of exhaustion, and strengthen physical training.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129676449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rapeseed Seeds Classification by Machine Vision","authors":"Jinwei Li, Guiping Liao, Zhongbin Ou, Jing Jin","doi":"10.1109/IITA.2007.56","DOIUrl":"https://doi.org/10.1109/IITA.2007.56","url":null,"abstract":"The implementation of new methods for fast classification of seeds is of major technical importance in the large-scale investigation of seeds identification. A few indices with biological significance were used to identify rapeseed type and variety. The plumpness and the plumpness ratio of rapeseed were extracted by using the variation coefficient of radius for fourteen rapeseed varieties at Chinese five locations. The equivalence diameter was extracted by using reference calibration method. The major color ratio and color saturation were extracted by using nine color HSV model and major color method. ANN-BP models were established for rapeseed varieties classification. The equivalent diameter and plumpness ratio were used to identify two classes' rapeseed, B.compestris and B. napus L. with accuracy of 100%. The equivalent diameter, plumpness ratio and color saturation were used to identify six rapeseed varieties, with accuracy of 92.06% to 92.37%,, with average of 92.15%. By machine vision, it is feasible to identify rapeseed type and variety with a few biological indices.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125947721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Remote Sensing and GIS in obtaining Agricultural Information","authors":"Qiaozhen Guo, Jing Li, Yunhao Chen, Weiguo Jiang","doi":"10.1109/IITA.2007.61","DOIUrl":"https://doi.org/10.1109/IITA.2007.61","url":null,"abstract":"Firstly, research progress on extracting agricultural information is presented in this paper. Secondly, taking Kunshan City in Jiangsu Province of China as the study area, the combinative methodology of automatic extraction and visual interpretation of land-use in Kunshan City from remote sensing data is dealt with. Thirdly, agricultural information is extracted by the binarization method. Finally, spatial directions and their changes of agricultural information are obtained in Kunshan City with remote sensing and GIS. The result shows that agricultural information can be obtained by the combinative methodology of automatic extraction and visual interpretation accurately and fleetly, moreover, the faster changes of agricultural land located in the northeast, east and south can be also concluded, and the extent of change are less in other directions.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124098855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiong Li, Tao Jin, Yuchen Fu, Quan Liu, Zhiming Cui
{"title":"The Design and Implementation of a Topic-Driven Crawler","authors":"Qiong Li, Tao Jin, Yuchen Fu, Quan Liu, Zhiming Cui","doi":"10.1109/IITA.2007.33","DOIUrl":"https://doi.org/10.1109/IITA.2007.33","url":null,"abstract":"It is indispensable that the users surfing on the Internet could have web pages classified into a given topic as correct as possible. As a result, topic-driven crawlers are becoming important tools to support applications such as specialized web portals, online searching, and competitive intelligence. This paper presents a topic-driven crawler computing the degree of relevance and refining the preliminary set of related web pages using term frequency/document frequency, entropy, and compiled rules. This paper also gives a kind of comparatively ideal system architecture and the relationship of each module of a topic-driven crawler, and describes several modules on the details.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125694219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bayesian Network Structure Learning Based on Rough Inclusion","authors":"Yu-ling Li, Qizong Wu","doi":"10.1109/IITA.2007.11","DOIUrl":"https://doi.org/10.1109/IITA.2007.11","url":null,"abstract":"A kind of Bayesian network structure learning approach based on rough inclusion is put forward. First of all, the idea of the apriori algorithm is applied to mine frequent attribute sets through restraining support. Then, inclusion theory of rough set is used for mining cause and effect associated rules that determine arcs and their direction between Bayesian network variables. At one time, mining algorithm of associated rules and Bayesian network structure learning approach are presented. Finally, It shows rationality and validity of the approach by analyzing the applied procedure of example.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121061959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Amelioration Design of Customer-Behavior Analyzing Engine","authors":"L. Wenjun","doi":"10.1109/IITA.2007.25","DOIUrl":"https://doi.org/10.1109/IITA.2007.25","url":null,"abstract":"This article proposes an amelioration design of Customer-Behavior analyzing engine. This engine is constructed on clicks stream analyzing method which expands ExLF log file formats and distinguishes between users with Cookie recognition mechanism and embedded Session Variable. This method also distinguishes between user-visit affairs by the time window model, and presents detailed database tables from the data source. Through clustering and CLV value analysis, it can recognize core customers. And then, the article combines clicks-stream dialog files with commercial website's inner data, and mines multidimensional associative rules by improved Apriori algorithm in order to analyze customer behavior and interests models.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116060060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fuzzy Reliability Analysis of Distributed Storage System for Tolerating Double Node and Disk Failures","authors":"Minghua Jiang, Ming Hu, Jing-li Zhou, Y. Ding","doi":"10.1109/IITA.2007.78","DOIUrl":"https://doi.org/10.1109/IITA.2007.78","url":null,"abstract":"The RAID5x is a two-disk failure-tolerant scheme of disk array that can be moved to the distributed environments. This new scheme called RAID5x variation can guarantees fault tolerance both to double node and double disk failures, there are two variations based on data distribution for placing data, parity, and mirrored copies within a periodical stripe: disk clustering and disk de-clustering. Then this paper analyzed the reliability of this system by combination of fuzzy logic and Markov modeling. This reliability method is a technique for analyzing fault tolerant designs under considerable uncertainty, such as is seen in compilations of component failure rates, the presented model provides the estimation of the lower and upper boundary of RAID5x variation with a single run of the model.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117029316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}